
Daniel Dines
490 posts

Daniel Dines
@danieldines
Founder & CEO @UiPath
New York, NY Katılım Aralık 2007
436 Takip Edilen6.5K Takipçiler

Financial crime compliance is one of the hardest problems in financial services. And it's only getting harder. The institutions fighting it need partners who understand the stakes.
Today I'm excited to announce that @UiPath has acquired @WorkFusion.
What drew me to @AdamFamularo and his team goes beyond the technology. Yes, they've built exceptional AI agents for customer screening, investigations, and risk analysis. But more importantly, they approach this work the way we do: with a deep respect for the human judgment at the center of compliance, and an obsession with earning customers' trust through governance, security, and control.
Together, we're going deeper on purpose-built solutions for know your customer, anti-money laundering, sanctions, and related financial crime use cases - combining their domain expertise with our business orchestration and agentic automation platform.
Adam, to you and your team: welcome to UiPath. Excited for what we'll build together.
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Hearing Paul Kistner describing our partnership with @AllegisGlobal in this way is exactly what we strive for. Grateful for collaborations that push our thinking and make us better.
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Enterprises want the speed and intelligence of AI agents and automation, but never at the expense of security or control.
Auditability remains essential in making that possible. Organizations need to verify what happened, when it happened, and why, and this level of transparency has shaped how we’ve built trust with enterprises over many years.
Protecting sensitive information is equally critical as AI models enter more workflows. Model governance helps safeguard PII, enforce regional and data-handling requirements, and log every model interaction so organizations can innovate without compromising the data they are responsible for.
Underpinning all of this is that customers need to know they can trust the companies that platforms and tools they rely on to get work done across their businesses. Governance and security are what allow enterprises to move forward with confidence, and they remain the foundation of the trust we’ve earned and continue to protect as the landscape of agentic automation evolves.
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Great result showing our focus on enhancing RPA with Autonomous Computer Use!
Anvita Dekhane@AnvitaDekhane
@UiPath’s ScreenAgent ranked #1 on OSWorld verified benchmark (lnkd.in/gNPwNuh8)! Its energizing to build enterprise grade agents, capable of executing end to end tasks. Truly autonomous agents, with human supervision and control. #CUAs #osworld #autonomousagents
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Japan has been one of the earliest countries to truly embrace automation, and one of the first places @UiPath expanded to as a company.
Every time I return, I’m reminded how open and forward-thinking this market is. Spending the past week with our customers, partners, and team across FUSION and DevCon was energizing.
Our conversations reinforced that security and enterprise reliability are not mere features, but expectations. And the key to safely harnessing the power of generative AI in the enterprise is orchestration, which stands at the core of our agentic automation approach. The trust our Japanese customers have placed in us over the years pushes us to stay sharp and continue building technology that meet these high expectations.
It was great to join Koichi Hasegawa on stage, and to welcome Hiromi Oka from @Microsoft and Tak Izaki from @nvidia. We talked about the agent-driven future of work: a world where autonomous AI agents, robots, and people operate together with governance and control to deliver real value.
Thank you to everyone who joined us throughout the week. Your insights, questions, and partnership continue to shape how we build.



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In our third quarter, we delivered ARR of $1.782 billion, up 11% year over year - a testament to the team’s focus, consistent execution, and the momentum we’re seeing as customers scale agentic automation across the enterprise.
Thank you @MorganLBrennan and @jonfortt for having me on @CNBCOvertime today to discuss what’s behind that performance and the trends we’re seeing as enterprises accelerate their AI and automation strategies. More organizations are looking for a unified platform rather than standalone tools, and that shift is becoming clear in how they adopt and expand automation.
Our ability to bring deterministic automation, agentic automation, and orchestration together in one trusted system is a real differentiator. This combination delivers meaningful outcomes for customers and helps them run end-to-end automation with confidence and scale.
What gives me confidence is how quickly organizations are embracing an open ecosystem approach. Our customers tell me they want choice, and that they want a platform that works with any model, any system, any agent. That openness is core to who we are and fundamental to the @UiPath Platform and we are humbled that it continues to resonate with customers around the world.
If you missed the interview, you can watch the full segment here: cnbc.com/video/2025/12/…
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Scalability is what separates experimentation from real transformation in technology.
The latest Everest Group report identifies scalability as one of the key drivers for intelligent process automation platforms adoption.
Enterprises are shifting away from automating tasks in isolation to end-to-end, proactive solutions, demanding an architecture that can manage complexity, uphold governance, and evolve with AI. This shaped our pivot toward orchestration, which is why I am proud to share that UiPath has been named a Leader and Star Performer in the Everest Group Full Suite Intelligent Process Automation Platform PEAK Matrix® Assessment 2025.
Orchestration applies as much to large, cross-department workflows as it does to smaller, team-level or individual processes. It creates the connective tissue that allows automation and AI to work together and provides the insights needed to understand how each element contributes to the whole.
Gaining a 360-degree view of how work happens is essential to managing complexity and scaling automation responsibly. This principle continues to guide our product direction and the way we partner with customers on their transformation journeys.
This recognition, along with our leadership position for Vision and Market Impact in the Intelligent Process Automation Platform (IPAP) PEAK Matrix® Assessment reflects our commitment to supporting enterprise-wide digital transformation.

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The @UiPath Community has always been at the heart of everything we do.
From the early days of UiPath to where we are now, some of the best ideas have come from the engineers, developers, and automation experts who explore our platform and push it in new directions.
Every year at Fusion, it’s a tradition for me to meet some of our UiPath MVPs in person. It’s always one of my favorite moments: seeing familiar faces, welcoming new ones, and hearing firsthand how this community continues to drive innovation.
Our MVPs are leaders who set the pace for what’s possible in automation and now in the growing space of agentic AI. Their creativity and dedication continue to shape how technology empowers people and organizations around the world.
Applications to become a UiPath MVP are open through November 20. This year, we’re expanding the program to include new categories: AI & Agentic Workflows, Process Orchestration, and Solution Developers for those building with LLMs and coded agents beyond UiPath.
Join us in shaping the future: community.uipath.com/mvp/

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Great points on why AI cannot (yet) replace software engineers. This is what all seasoned developers will tell, the bottleneck is not in writing code - I think coding was 5% of my job as backend dev - but in:
-Understanding and reflecting business logic
-Architecting clean, extensible systems
-Managing side effects, state, latency, auth, concurrency, observability
-Reasoning through edge cases and failure modes
tinyurl.com/vibesareoff
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Saudi Arabia is moving fast - and thinking big.
With $24.8B invested in digital infrastructure over the last 6 years, 99% internet coverage, and broadband speeds doubling global averages, it’s no surprise the Kingdom aims to lead in AI by 2030.
That’s why last week, we opened our new @UiPath office in Riyadh: a bold step in our long-term commitment to Vision 2030 and to building a more innovative future.
Proud to have been on the ground to mark this milestone.

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At GITEX, I had the chance to speak with David Popovici, Olympic champion, Global Ambassador for UiPath, and someone I’m lucky to call a friend.
We talked about how excellence can emerge even when the conditions aren’t perfect. David became one of the world’s best swimmers from Romania, a country without a strong tradition in the sport. His story shows that greatness often grows out of adversity, through determination and the drive to push beyond limits.
At @UiPath, our journey has been similar in spirit. We started from the same place, guided by the conviction that talent, perseverance, and collaboration can create something meaningful anywhere in the world.
Progress in both sports and technology comes from the same mindset: discipline, collaboration, and a constant drive to improve. What connects David’s path and what we see in businesses adopting AI is vision, the willingness to take on big challenges, stay decisive, and go all in on what truly matters.
Those who embrace that mindset and face their biggest challenges head-on are the ones achieving the most meaningful transformation. The courage to keep learning and moving forward, even when the path is uncertain, is what turns potential into lasting impact.


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Thank you @jonfortt and @MorganLBrennan for having me on @CNBCOvertime today to speak about the momentum we are seeing at UiPath.
As I shared, the growth of agentic AI is not hype and the customers taking on the hardest problems are seeing results. We will continue to take an open approach, building partnerships with the most important players in the AI ecosystem, that ensures that customers can put our automation platform to work for them regardless of what AI infrastructure, models, and applications they choose.
Link to recording: cnbc.com/video/2025/10/…
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Software testing has long shifted from an afterthought to be a central part of how organizations accelerate innovation.
That’s why we have made agentic testing a core capability of the UiPath Platform: to help teams design, automate, and manage quality at enterprise scale.
And I am proud to share that UiPath has been named a Leader in the first-ever Gartner® Magic Quadrant™ for AI-Augmented Software Testing Tools.
To our team, this recognition validates our vision for agentic testing – AI-powered agents working alongside people – and reflects the measurable results our customers achieve with UiPath Test Cloud.
You can access the report here: uipath.com/resources/auto…
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It was great joining Alyx MacQueen on the diginomica Executive Intelligence podcast. The main topics we cover are agentic ERP and AI agents as first-class citizens on our platform.
I share our own Customer Zero story - implementing SAP with automation at the center and achieving a 93% clean-core, with more than 85% of critical finance workflows being executed by unattended automations.
We also explore the bigger picture: why UiPath is taking a vendor-neutral approach to agents, and the skills I believe will be valuable as agentic workflows become more prevalent in enterprises.
Full episode here:
open.spotify.com/episode/1a92wg…
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The turning point in the early days of UiPath was shifting our mindset - instead of building the next big feature that made sense to us as developers, we built what our customers needed. This same philosophy is what enables us to help customers surpass the exploratory and POC stages of enterprise level AI-adoption. Our approach to agentic automation is to enable our customers use the right tool for the right task, and allow people to have visibility into what agents produce - unifying AI agents, robots and human decision making into a single platform.
Continental Resources is one of our customers and early adopters of agentic automation. Their solution is now in production, showcasing the right balance between AI-driven processing and human intervention. They chose a use case that tackles a common but high-stakes problem in the energy sector: accurate classification and routing of technical drilling data. This process would historically involve engineers manually reviewing and classifying emails, extracting well and stage data, verifying accuracy, and uploading files into internal repositories.
By orchestrating agents, robots, and built-in decision flows to escalate inconsistent or incomplete data, they reduce manual oversight, increase data accuracy, and accelerate information availability for engineering teams. Early feedback indicates strong results, with the agents achieving high accuracy scores in identifying and classifying emails within an hour of deployment.
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Daniel Dines retweetledi

FROM THE LIVE SHOW: @awscloud CEO Matt Garman on why replacing all of your junior engineers with AI is the dumbest thing he’s ever heard
“They’re your least expensive employees, the most leaned into AI tools, and the ones who become your future senior engineers.
Stop hiring them, and in 10 years you’ll have no one who’s built up or learned anything.”
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It uses generative AI to map the fields and field groups defined in the extraction schema, with built-in performance metrics for each. All extraction results have confidence levels, which are useful for routing low-confidence outputs for review. IXP is now GA in Europe & US and in Public Preview in Japan, Canada, and Australia. It is also available to all UiPath Community users on a usage-restricted basis for anyone who wants to get a sense of it.
youtube.com/watch?v=9zrPui…

YouTube
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I’ve become convinced that as models commoditize, product and engineering are the deciding factors in the success or failure of Agentic AI technologies. IXP is our solution for extracting information from long, complex unstructured documents, building on top of our communications mining and document understanding capabilities. It’s a multi-modal data extraction platform designed to transform documents with complex elements such as nested tables, charts, handwriting, or signatures into structured data, powering automation and analytics. We built IXP as a ground-up Gen-AI first product. It offers a magical, out of the box experience. Zero-shot extraction. Inference-first engine.
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